Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method of ct image reconstruction

A CT image and CT scanning technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of reducing the quality of CT images, unable to accurately reconstruct the original signal, etc., and achieve the effect of improving quality

Active Publication Date: 2017-12-08
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above reconstruction method can achieve better reconstruction results for CT scan data with sufficient data sampling rate, but when the sampling rate of CT scan is relatively low and does not meet the conditions of Nyquist sampling law, the original signal cannot be accurately reconstructed. It will lead to obvious artifacts in the reconstructed image and reduce the quality of the CT image

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method of ct image reconstruction
  • A method of ct image reconstruction
  • A method of ct image reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Step 1. Read the original projection data of the CT scan to be processed, and perform air correction, convolution, and back-projection processing on the original projection data in order to obtain the original CT image; initialize the iteration parameter: k max = 5, lambda = 2;

[0038] Step 2. Obtain the current weighted penalty factor according to the current CT image. The current weighted penalty factor is obtained by analyzing the following formula:

[0039]

[0040] in: 1≤i,j≤N, where N is the size of the current CT image, a and δ are the parameters used to adjust the current weighting penalty factor, x i,j Represents the data of the current CT image. The larger a is, the smaller δ is, and the effect of the weighted penalty factor is more ideal. Choosing too large a or too small δ will easily lead to the reconstruction algorithm converging on the local extremum, resulting in local Bright spots or dark spots, in order to better keep the edge information in the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a CT image reconstruction method, comprising the following steps: step 1, acquiring an original CT image; step 2, acquiring a current weighted penalty factor; step 3, constructing a weighted total variation reconstruction model; step 4, solving a minimum value of the weighted total variation; step 5, acquiring an updated CT image; and step 6, judging whether the updated CT image meets a stopping criterion for iteration. According to the CT image reconstruction method provided by the present invention, the weighted total variation reconstruction model is constructed by using the self-defined weighted penalty factor function; the CT image is updated by solving the minimum value of the weighted total variation; and the CT image is continuously iterated and updated till the final reconstructed CT image is output. The CT image reconstruction method can be used for solving the problem of false image artifact problem of a filter back-projection algorithm under condition of insufficient data sampling, thereby greatly improving the quality of the reconstructed CT image.

Description

technical field [0001] The invention relates to the field of CT imaging, in particular to a CT image reconstruction method. Background technique [0002] At present, in CT scanning imaging, the analytical reconstruction method based on filtered back projection is mainly used to generate the tomographic image of the scanned object. First, the original projection data is obtained by CT scanning the object, and then the projection data is convoluted by a one-dimensional slope filter. processing, and multiply the projection data after convolution processing by the back projection factor weighted by the reciprocal distance to update the CT image data value of the point to be reconstructed. The above reconstruction method can achieve better reconstruction results for CT scan data with sufficient data sampling rate, but when the sampling rate of CT scan is relatively low and does not meet the conditions of Nyquist sampling law, the original signal cannot be accurately reconstructed...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
Inventor 郑健吴中毅袁刚张寅郁朋李铭
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com